Literature DB >> 25496051

A systematic review of nurse-related social network analysis studies.

D C Benton1, F Pérez-Raya2, M P Fernández-Fernández3, M A González-Jurado3.   

Abstract

BACKGROUND: Nurses frequently work as part of both uni- and multidisciplinary teams. Communication between team members is critical in the delivery of quality care. Social network analysis is increasingly being used to explore such communication. AIM: To explore the use of social network analysis involving nurses either as subjects of the study or as researchers.
METHODS: Standard systematic review procedures were applied to identify nurse-related studies that utilize social network analysis. A comparative thematic approach to synthesis was used. Both published and grey literature written in English, Spanish and Portuguese between January 1965 and December 2013 were identified via a structured search of CINAHL, SciELO and PubMed. In addition, Google and Yahoo search engines were used to identify additional grey literature using the same search strategy.
RESULTS: Forty-three primary studies were identified with literature from North America dominating the published work. So far it would appear that no author or group of authors have developed a programme of research in the nursing field using the social network analysis approach although several authors may be in the process of doing so. LIMITATIONS: The dominance of literature from North America may be viewed as problematic as the underlying structures and themes may be an artefact of cultural communication norms from this region.
CONCLUSIONS: The use of social network analysis in relation to nursing and by nurse researchers has increased rapidly over the past two decades. The lack of longitudinal studies and the absence of replication across multiple sites should be seen as an opportunity for further research. IMPLICATION FOR NURSING AND HEALTH POLICY: This analytical approach is relatively new in the field of nursing but does show considerable promise in offering insights into the way information flows between individuals, teams, institutions and other structures. An understanding of these structures provides a means of improving communication.
© 2014 International Council of Nurses.

Entities:  

Keywords:  Communication; Research Methods; Social Network Analysis; Systematic Review

Mesh:

Year:  2014        PMID: 25496051     DOI: 10.1111/inr.12161

Source DB:  PubMed          Journal:  Int Nurs Rev        ISSN: 0020-8132            Impact factor:   2.871


  11 in total

Review 1.  Social network analysis: Presenting an underused method for nursing research.

Authors:  James Michael Parnell; Jennifer C Robinson
Journal:  J Adv Nurs       Date:  2018-03-25       Impact factor: 3.187

2.  Exploring the Stability of Communication Network Metrics in a Dynamic Nursing Context.

Authors:  Barbara B Brewer; Kathleen M Carley; Marge Benham-Hutchins; Judith A Effken; Jeffrey Reminga
Journal:  Soc Networks       Date:  2019-09-04

3.  Relationship of Staff Information Sharing and Advice Networks to Patient Safety Outcomes.

Authors:  Barbara B Brewer; Kathleen M Carley; Marge M Benham-Hutchins; Judith A Effken; Jeffrey Reminga; Michael Kowalchuck
Journal:  J Nurs Adm       Date:  2018-09       Impact factor: 1.737

4.  Satisfaction with Social Support Received from Social Relationships in Cases of Chronic Pain: The Influence of Personal Network Characteristics in Terms of Structure, Composition and Functional Content.

Authors:  Rosario Fernández-Peña; José Luis Molina; Oliver Valero
Journal:  Int J Environ Res Public Health       Date:  2020-04-15       Impact factor: 3.390

5.  Implementation of an interprofessional collaboration in practice program: a feasibility study using social network analysis.

Authors:  Linda C Smit; Jeroen Dikken; Nienke M Moolenaar; Marieke J Schuurmans; Niek J de Wit; Nienke Bleijenberg
Journal:  Pilot Feasibility Stud       Date:  2021-01-06

Review 6.  Review of social networks of professionals in healthcare settings-where are we and what else is needed?

Authors:  Huajie Hu; Yu Yang; Chi Zhang; Cong Huang; Xiaodong Guan; Luwen Shi
Journal:  Global Health       Date:  2021-12-04       Impact factor: 4.185

Review 7.  Use of social network analysis methods to study professional advice and performance among healthcare providers: a systematic review.

Authors:  Kate Sabot; Deepthi Wickremasinghe; Karl Blanchet; Bilal Avan; Joanna Schellenberg
Journal:  Syst Rev       Date:  2017-10-23

8.  Identifying integration and differentiation in a Hospital's logistical system: a social network analysis of a case study.

Authors:  Annelies van der Ham; Frits van Merode; Dirk Ruwaard; Arno van Raak
Journal:  BMC Health Serv Res       Date:  2020-09-11       Impact factor: 2.655

Review 9.  Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review.

Authors:  Linda C Smit; Jeroen Dikken; Marieke J Schuurmans; Niek J de Wit; Nienke Bleijenberg
Journal:  BMJ Open       Date:  2020-11-17       Impact factor: 2.692

10.  Exploring the structure of social media application-based information-sharing clinical networks in a community in Japan using a social network analysis approach.

Authors:  Junji Haruta; Sho Tsugawa; Kazunari Ogura
Journal:  Fam Med Community Health       Date:  2020-09
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